Intrusion Detection on NF-UNSW-NB15
91.11AccuracyQ-AGNN
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Q-AGNN2026.03 | 91.11 | 95.35 | 66.67 | 72.56 | 0 | 66.67 | 100 | |
| GCN2026.03 | 86.67 | 43.33 | 50 | 46.43 | 0 | 100 | 100 | |
| GAT2026.03 | 86.67 | 43.33 | 50 | 46.43 | 0 | 100 | 100 | |
| GraphSAGE2026.03 | 86.67 | 43.33 | 50 | 46.43 | 0 | 100 | 100 | |
| ClusterGCN2026.03 | 86.67 | 43.33 | 50 | 46.43 | 0 | 100 | 100 | |
| SuperGAT2026.03 | 86.67 | 43.33 | 50 | 46.43 | 0 | 100 | 100 | |
| TransformerConv2026.03 | 86.67 | 43.33 | 50 | 46.43 | 0 | 100 | 100 | |
| GINConv2026.03 | 17.78 | 28.57 | 10.26 | 15.09 | 79.49 | 100 | 20.51 |